高分一号遥感卫星影像融合及质量评价方法研究   总被引：3，自引：0，他引：3  

王晓绵  姜芸 《测绘与空间地理信息》2015,(8)

遥感技术正在突飞猛进的发展,影像融合技术得到了深入研究,本文在像素级融合的基础上,以高分一号卫星影像为实验数据源,并用主成分变换、Brovey变换、Gram－Schimdt变换、HSV变换等方法,进行试验研究,并以主客观相结合的方式,对实验结果进行评价,最后得出结论,本文研究成果可对高分一号影像进一步应用提供借鉴。  相似文献   

浅谈北斗卫星导航系统在测量中的应用     

何国军  崔红英 《测绘与空间地理信息》2015,(9)

北斗卫星导航系统在测量中发挥着重要作用,本文对其系统特点和技术优势进行了分析,阐述了北斗卫星导航系统在保证测量的准确性、降低外业测量工作人员劳动强度方面的优势和应用前景。  相似文献   

一种基于实践九号卫星的快速系统误差补偿技术     

雷蓉  李禄  邓磊  李奇峻 《测绘科学技术学报》2015,32(2):152-156

直接利用光学遥感卫星的严格成像模型对地面点进行定位,定位误差与卫星姿态测量误差有关,其中包括地球自转引起的偏流角误差和姿态角常差。偏流角误差可以根据星历数据予以有效消除,而姿态角常差一般要利用少量控制点进行消除。基于此,在消除偏流角的影响下,这里采用了一种改进的四元数算法——P-H算法用于快速计算姿态角常差,并对系统误差进行补偿。该技术较常用的欧拉角解算,具有原理简单,计算速度快和结果稳定的特点。通过实践九号卫星影像的实验表明,运用该技术能快速和大幅度提高卫星在稀少控制点情况下的定位精度。  相似文献   

基于IDL的资源一号02C星HR影像RFM几何校正     

钱志奇  朱晓雯  房莹莹 《江苏地质》2015,39(1):55-60

资源一号(ZY-1)02C卫星作为我国高分辨率遥感数据卫星之一,正广泛应用于各个领域.该卫星数据采用国际上广泛使用的有理函数模型(Rational Function Model,RFM),并提供有理函数多项式系数(Rational PolynomialCoefficients,RPC).针对ZY-1 02C星1级辐射校正数据格式特点,在充分了解数据文件结构基础上,使用IDL语言进行开发,通过RFM反演其RPC,实现HR影像的几何校正等预处理.实验结果表明,程序执行快速稳定,精度可靠,影像镶嵌效果好,可以有效使用RFM实现大数据量影像的系统几何校正,避免重复操作中间数据的繁琐步骤,提高工作效率,具有实用价值.  相似文献   

基于散射计风场数据的台风强度诊断方法——以海洋二号卫星数据为例   总被引：2，自引：2，他引：0  

杨典  宋清涛  蒋兴伟  刘宇昕  刘圆 《海洋学报》2019,41(1):151-159

本文提出了一种基于散射计风场数据的台风定强方法。该方法定义了台风所在海区的一个圆形区域上的风速平均值来对台风进行定强，并使用海洋二号卫星散射计历史数据对该方法进行了验证。验证结果表明，该台风定强方法可以克服散射计反演台风风速过低的问题。与台风强度监测的历史记录比较的结果显示，在台风强度低于"强台风"这一强度等级时，该方法能够有效估算台风强度。  相似文献   

A 10-year wave energy resource assessment and trends of Indonesia based on satellite observations     

Amiruddin  Ribal Agustinus  Khaeruddin  Thamrin Sri Astuti 《海洋学报(英文版)》2019,38(8):86-93

Wave energy resource assessment and trends around Indonesian's ocean has been carried out by means of analyzing satellite observations. Wave energy flux or wave power can be approximated using parameterized sea states derived from satellite data. Unfortunately, only some surface parameters can be measured from remote sensing satellites, for example for ocean surface waves: significant wave height. Others, like peak wave period and energy period are not available, but can instead be estimated using empirical models. The results have been assessed by meteorological season. The assessment shows clearly where and when the wave power resource is promising around Indonesian's ocean. The most striking result was found from June to August, in which about 30–40 kW/m(the 90 th percentile: 40–60 kW/m, the 99th percentile: 50–70 kW/m) wave power energy on average has been found around south of the Java Island. The significant trends of wave energy at the 95% level have also been studied and it is found that the trends only occurred for the extreme cases, which is the 99th percentile(i.e.,highest 1%). Wave power energy could increase up to 150 W/m per year. The significant wave heights and wave power have been compared with the results obtained from global wave model hindcast carried out by wave model WAVEWATCH III. The comparisons indicated excellent agreements.  相似文献   

BDS卫星失效对区域定位精度的影响评估     

徐炜  徐梅  严超  王涛 《大地测量与地球动力学》2018,38(11):1133-1136

基于STK软件实现了2016-09 BDS系统星座结构的仿真，并选取可见卫星数、DOP值、系统可用性作为评估BDS卫星星座设计结构的指标，分析单颗与全部倾斜轨道卫星（IGSO）、地球静止轨道卫星（GEO）失效后对我国大陆地区BDS系统可用性的影响。结果表明，IGSO4卫星与GEO5卫星失效后对BDS在区域的定位性能影响较大，失效后的GDOP值分别为1.98、2.16。取BDS卫星正常运行时区域平均GDOP最大值(S=2.60)作为系统可用性阈值时，系统可用性分别降低了1.79%、32.63%；阈值取2S(5.20)、3S(7.80)、4S(10.40)、5S(13.00)时，系统可用性均可达100.00%。GEO整体失效后BDS系统在高精度定位中仍部分可用，而IGSO整体失效后BDS系统可用性受到大幅度限制。因此，增加在轨备份卫星时需重点考虑GEO5、IGSO4，并适当增加IGSO卫星的数目。  相似文献   

Upper Ocean Four-Dimensional Variational Data Assimilation in the Arabian Sea and Bay of Bengal     

Suneet Dwivedi  Atul Srivastava  Alok Kumar Mishra 《Marine Geodesy》2018,41(3):230-257

A regional ocean circulation model with four-dimensional variational data assimilation scheme is configured to study the ocean state of the Indian Ocean region (65°E–95°E; 5°N–20°N) covering the Arabian Sea (AS) and Bay of Bengal (BoB). The state estimation setup uses 10 km horizontal resolution and 5 m vertical resolution in the upper ocean. The in-situ temperature and salinity, satellite-derived observations of sea surface height, and blended (in-situ and satellite-derived) observations of sea surface temperature alongwith their associated uncertainties are used for data assimilation with the regionally configured ocean model. The ocean state estimation is carried out for 61 days (1 June to 31 July 2013). The assimilated fields are closer to observations compared to other global state estimates. The mixed layer depth (MLD) of the region shows deepening during the period of assimilation with AS showing higher MLD compared to the BoB. An empirical forecast equation is derived for the prediction of MLD using the air–sea forcing variables as predictors. The surface and sub-surface (50 m) heat and salt budget tendencies of the region are also investigated. It is found that at the sub-surface, only the advection and diffusion temperature and salt tendencies are important.  相似文献   

卫星测高数据监测青藏高原湖泊2010年—2018年水位变化     

廖静娟  薛辉  陈嘉明 《遥感学报》2020,24(12):1534-1547

青藏高原湖泊水位变化是气候变化和生态环境变化研究的重要指标。随着Cryosat-2观测数据的日益丰富和处理技术的提升，可以有效监测更多湖泊的水位变化信息。本研究构建了基于噪声去除技术、改进的波形重跟踪处理算法（ImpMWaPP）和误差混合动态模型为一体的高精度湖泊水位序列提取方法，利用Cryosat-2 SARIn数据获取到133个青藏高原湖泊2010年—2018年的高精度水位序列，并分析了这些湖泊水位变化的时空变化特征。总体上，青藏高原湖泊的水位继续呈上升趋势，但上升速度较2003年—2009年趋缓，年均变化率0.159 m/a。从地域分布上，北部湖泊的水位上升最为显著，而南部湖泊的水位则趋于稳定。从时间上，2010年—2012年和2016年—2018年，大多数湖泊的水位呈现快速上涨，而其他时间水位相对稳定或略有下降。  相似文献   

Regional soil organic carbon prediction model based on a discrete wavelet analysis of hyperspectral satellite data     

《International Journal of Applied Earth Observation and Geoinformation》2020

Most studies have the achieved rapid and accurate determination of soil organic carbon (SOC) using laboratory spectroscopy; however, it remains difficult to map the spatial distribution of SOC. To predict and map SOC at a regional scale, we obtained fourteen hyperspectral images from the Gaofen-5 (GF-5) satellite and decomposed and reconstructed the original reflectance (OR) and the first derivative reflectance (FDR) using discrete wavelet transform (DWT) at different scales. At these different scales, as inputs, we selected the 3 optimal bands with the highest weight coefficient using principal component analysis and chose the normalized difference index (NDI), ratio index (RI) and difference index (DI) with the strongest correlation with the SOC content using a contour map method. These inputs were then used to build regional-scale SOC prediction models using random forest (RF), support vector machine (SVM) and back-propagation neural network (BPNN) algorithms. The results indicated that: 1) at a low decomposition scale, DWT can effectively eliminate the noise in satellite hyperspectral data, and the FDR combined with DWT can improve the SOC prediction accuracy significantly; 2) the method of selecting inputs using principal component analysis and a contour map can eliminate the redundancy of hyperspectral data while retaining the physical meaning of the inputs. For the model with the highest prediction accuracy, the inputs were all derived from the wavelength range of SOC variations; 3) the differences in prediction accuracy among the different prediction models are small; and 4) the SOC prediction accuracy using hyperspectral satellite data is greatly improved compared with that of previous SOC prediction studies using multispectral satellite data. This study provides a highly robust and accurate method for predicting and mapping regional SOC contents.  相似文献